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Data from: Transcriptomes of bovine ovarian follicular and luteal cells

Affymetrix Bovine GeneChip® Gene 1.0 ST Array RNA expression analysis was performed on four somatic ovarian cell types: the granulosa cells (GCs) and theca cells (TCs) of the dominant follicle and the large luteal cells (LLCs) and small luteal cells (SLCs) of the corpus luteum. The normalized linear microarray data was deposited to the NCBI GEO repository (GSE83524). Subsequent ANOVA determined genes that were enriched (≥2 fold more) or decreased (≤−2 fold less) in one cell type compared to all three other cell types, and these analyzed and filtered datasets are presented as tables. Genes that were shared in enriched expression in both follicular cell types (GCs and TCs) or in both luteal cells types (LLCs and SLCs) are also reported in tables. The standard deviation of the analyzed array data in relation to the log of the expression values is shown as a figure. These data have been further analyzed and interpreted in the companion article "Gene expression profiling of ovarian follicular and luteal cells provides insight into cellular identities and functions", Romereim et al., (2017) Mol. Cell. Endocrinol. 439:379-394. https://doi.org/10.1016/j.mce.2016.09.029

Dataset Info

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FieldValue
Authors
Romereim, Sarah M.
Summers, Adam F.
Pohlmeier, William E.
Zhang, Pan
Hou, Xiaoying
Talbott, Heather
(ORCID)
Cushman, Robert A.
(ORCID)
Wood, Jennifer R.
Davis, John S.
Cupp, Andrea S.
Product Type
Dataset
Intended Use
The follicular GC and TC transcriptome data can be compared to previously published bovine gene expression analyses for corroboration and are valuable in metadata analyses investigating GC and TC transcriptomes at different stages or in different species. There are no previously published transcriptomes available for large luteal cells (LLC) and small luteal cells (SLC). Therefore, the luteal cell gene expression data allow novel insight into these two cell types. Lists of identified genes that are specifically enriched in each somatic ovarian cell type can inform future physiological research on the functions of the ovarian somatic cells.
Publisher
Data in Brief
Contact Name
Cupp, Andrea S.
Contact Email
Public Access Level
Public
Preferred Dataset Citation
Romereim, S. M., Summers, A. F., Pohlmeier, W. E., Zhang, P., Hou, X., Talbott, H. A., Cushman, R. A., Wood, J. S., Davis, J. S., & Cupp, A. S. (2017). Transcriptomes of bovine ovarian follicular and luteal cells. <em>Data in Brief</em> 10: 335-339. https://doi.org/10.1016/j.dib.2016.11.093
Primary Article

Romereim, S. M., Summers, A. F., Pohlmeier, W. E., Zhang, P., Hou, X., Talbott, H. A., Cushman, R. A., Wood, J. S., Davis, J. S., & Cupp, A. S. (2017). Transcriptomes of bovine ovarian follicular and luteal cells. Data in Brief 10: 335-339

Related Article

Romereim, S. M,. Summers, A. F., Pohlmeier, W. E., Hou, X., Talbott, H. A., Cushman, R. A., Wood, J. R., Davis, & J. S., Cupp, A. S. (2017). Gene expression profiling of bovine ovarian follicular and luteal cells provides insight into cellular identities and functions Mol. Cell. Endocrinol. 439:379-394

Methods Citation

Romereim, S. M., Summers, A. F., Pohlmeier, W. E., Zhang, P., Hou, X., Talbott, H. A., Cushman, R. A., Wood, J. S., Davis, J. S., & Cupp, A. S. (2017). Transcriptomes of bovine ovarian follicular and luteal cells. Data in Brief 10: 335-339

License
Funding Source(s)
U.S. Department of Agriculture
NEB 26-202/W2112
U.S. Department of Agriculture
NEB ANHL 26-213
U.S. Department of Agriculture
NEB 26-206
National Institute of Food and Agriculture
2013-67015-20965
U.S. Department of Agriculture
2016-67012-24697
U.S. Department of Agriculture
2014-67011-22280
Dataset DOI (digital object identifier)
10.1016/j.dib.2016.11.093
Program Code
005:037 - Department of Agriculture - Research and Education
Bureau Code
005:18 - Agricultural Research Service
Modified Date
2018-12-17
Release Date
2017-12-14
Ag Data Commons Keywords: 
  • Genomics & Genetics
  • Transcriptome
  • Animals & Livestock
  • Traits
  • Genomics & Genetics
  • Animals & Livestock
ISO Topic(s):